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Dylan Sam
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 10
Top Topics
Unlabeled Data
Weakly Supervised Learning
Multi Class Learning
Constrained Spectral Clustering
Top Venues
CoRR
AISTATS
ICLR
ICML
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Publications
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Rattana Pukdee
,
Dylan Sam
,
J. Zico Kolter
,
Maria-Florina Balcan
,
Pradeep Ravikumar
Learning with Explanation Constraints.
NeurIPS
(2023)
Rattana Pukdee
,
Dylan Sam
,
J. Zico Kolter
,
Maria-Florina Balcan
,
Pradeep Ravikumar
Learning with Explanation Constraints.
CoRR
(2023)
Rattana Pukdee
,
Dylan Sam
,
Pradeep Kumar Ravikumar
,
Nina Balcan
Label Propagation with Weak Supervision.
ICLR
(2023)
Victor Akinwande
,
Yiding Jiang
,
Dylan Sam
,
J. Zico Kolter
Understanding prompt engineering may not require rethinking generalization.
CoRR
(2023)
Dylan Sam
,
J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction.
AAAI
(2023)
Rattana Pukdee
,
Dylan Sam
,
Maria-Florina Balcan
,
Pradeep Ravikumar
Label Propagation with Weak Supervision.
CoRR
(2022)
Dylan Sam
,
Min Bai
,
Tristan McKinney
,
Li Erran Li
Improving self-supervised representation learning via sequential adversarial masking.
CoRR
(2022)
Dylan Sam
,
J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction.
CoRR
(2022)
Alessio Mazzetto
,
Dylan Sam
,
Andrew Park
,
Eli Upfal
,
Stephen H. Bach
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees.
AISTATS
(2021)
Alessio Mazzetto
,
Cyrus Cousins
,
Dylan Sam
,
Stephen H. Bach
,
Eli Upfal
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees.
ICML
(2021)